Author’s cover for the podcast-to-article workflow, illustrated with a microphone and transcript-to-article motif.
Скриншоты проектаОб этом Skill
Turn a podcast or interview transcript into a topic-led article while preserving attribution, concrete facts, and the speaker’s voice.
Почему мы его выбрали
Provides a reusable workflow with concrete deliverables and supporting resources for Podcast to Article. Review the included tasks and requirements before selecting an entrypoint.
Для каких задач подходит
- Turn a podcast or interview transcript into a topic-led article while preserving attribution, concrete facts, and the speaker’s voice.
How the workflow fits together
Turn a podcast or interview transcript into a topic-led article while preserving attribution, concrete facts, and the speaker’s voice.
Install and start with your own material
Keep the bundled references, scripts, and templates. Start with your actual source material or application and name the result you want before running the selected workflow.
| Команда | Для чего полезна |
|---|---|
npx skills add orange2ai/podcast-to-article | Install the upstream skill folders with their bundled resources. |
Перед использованием
- A transcript in SRT, VTT, Markdown, or text. Python 3 runs the bundled transcript-cleaning and style-check scripts; no transcription service is included.
Поддерживаемые агенты
Источники и материалы
Ссылки на оригинальные материалы приведены ниже. Практические идеи предложены редакцией SkillHey.